Instructions to use JasonWen/temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JasonWen/temp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JasonWen/temp", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c2b203da16778f7d8a2145d77b719618351f85bf258d49168740434aa31ec36
- Size of remote file:
- 11.9 GB
- SHA256:
- 201dd29c16552c544c98ab3b9449b32da80346777d1a8773cf141833518701f3
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